FedTruth: Byzantine-Robust and Backdoor-Resilient Federated Learning Framework. - Sheldon C. Ebron Jr.; Kan Yang 001 (CoRR, 2023)

Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service. - Meiying Zhang; Huan Zhao; Sheldon C. Ebron Jr.; Ruitao Xie; Kan Yang 001 (CoRR, 2023)

Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning. - Meiying Zhang; Huan Zhao; Sheldon C. Ebron Jr.; Kan Yang 001 (GLOBECOM, 2024)

Ensuring Fairness in Federated Learning Services: Innovative Approaches to Client Selection, Scheduling, and Rewards. - Meiying Zhang; Huan Zhao; Sheldon C. Ebron Jr.; Ruitao Xie; Kan Yang 001 (ICDCS, 2024)

Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning. - Sheldon C. Ebron Jr.; Meiying Zhang; Kan Yang 001 (ACISP (3), 2025)